Pipeline: Lead Forward Deployed Engineer - AI
Posted Updated
Description
At BMC, we don’t do ordinary. Across BMC, our AI teams are building the next generation of agentic AI, capabilities that help enterprises run their most critical systems faster, more resiliently, and with confidence. Our agentic AI empowers autonomous agents to detect, diagnose, and help resolve complex problems with speed, accountability, and human oversight.
We’re not hiring for roles; we’re hiring for impact. You’ll solve hard problems, build smart solutions, and work with people who challenge and champion you, and see your work make a difference for customers running mission-critical systems.
You work directly with customers to develop, customize, and deploy BMC’s agentic AI in real operational environments. Combining hands-on software engineering with domain understanding and close collaboration with end users, you turn product capabilities into working, valued solutions and feed field learning back into the product.
Here is how, through this role, you will contribute to BMC’s and your own success:
- Deploy, configure, and customize BMC’s agentic AI in customer environments (on-prem, hyperscaler, or OpenShift), ensuring value from Day 1.
- Take ownership of features and integrations end-to-end, even when requirements are incomplete or evolving.
- Build integrations with customer systems and cloud platforms (AWS, Azure, GCP).
- Support proofs-of-concept and pilots end-to-end; resolve technical and business blockers; keep stakeholders informed.
- Work directly with customers across regions/time zones, with travel as required.
- Act as a trusted technical advisor on agentic-AI adoption with human-in-the-loop, governed approaches.
- Bring field learnings back to product and engineering based on real usage.
- Contribute pragmatic engineering standards — CI/CD, automated testing, and DevOps practices.
- Define repeatable deployment, integration, and value-realization patterns across customers.
- Lead complex/strategic accounts technically; escalate systemic product gaps with prioritization.
- Coach and raise the bar for the acceleration engineering practice.
- Align Product, Engineering, Security, and Customer teams on shared field standards.
To ensure you’re set up for success, you will bring the following skillset & experience:
- Typically 8–13 years of relevant experience
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).
- Python and software-engineering fundamentals; LLM/RAG/agents/prompt engineering literacy (depth scales with level).
- Enterprise systems/API integration; cloud platforms (AWS, Azure, GCP).
- Containers/orchestration (Docker, Kubernetes, OpenShift) and CI/CD as level requires.
- Excellent verbal and written communication; customer comfort scales with level.
- Rapid prototyping and ownership; willingness to travel as needed.
- Multi-engagement or multi-team adoption of practices you led.
- Sets delivery standards for customer engineering, not only excels on one account.
- Balances customization pressure with productized, supportable solutions.
Whilst these are nice to have, our team can help you develop in the following skills:
- Customer, on-prem, or air-gapped deployments.
- Presales, solutions-engineering, or professional-services experience.
- Domain exposure relevant to the hiring team; Agile/Atlassian.